On the Performance of UAV-Assisted IRS-NOMA Networks

Fan Gao, Shuangshuang Zhao, Yu Zhou, Chao Zhou, Gaoying Cui, Zhen Zhang, Minghe Mao

2022

Abstract

In order to further improve the spectral efficiency of the communication system, we introduce the non-orthogonal multiple access (NOMA) technique into the UAV-IRS system. Specifically, a UAV-IRS communication system model using the NOMA scheme is first proposed. Then a physical-optics based IRS path loss model is used to derive the received signal-to-noise ratio and ergodic capacity formulas under the two-user scenario. Finally, we compare the total user capacity of the proposed system under the OFDMA scheme with the NOMA scheme. The numerical results show that the NOMA scheme improves the total user capacity by almost two times compared to the OFDMA scheme, and the area of the IRS is found to have a significant impact on the system performance.

Paper Citation

in Harvard Style

Gao F., Zhao S., Zhou Y., Zhou C., Cui G., Zhang Z. and Mao M. (2022). On the Performance of UAV-Assisted IRS-NOMA Networks. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC; ISBN 978-989-758-622-4, SciTePress, pages 709-714. DOI: 10.5220/0012034800003612

in Bibtex Style

@conference{isaic22,
author={Fan Gao and Shuangshuang Zhao and Yu Zhou and Chao Zhou and Gaoying Cui and Zhen Zhang and Minghe Mao},
title={On the Performance of UAV-Assisted IRS-NOMA Networks},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC},
year={2022},
pages={709-714},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012034800003612},
isbn={978-989-758-622-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC
TI - On the Performance of UAV-Assisted IRS-NOMA Networks
SN - 978-989-758-622-4
AU - Gao F.
AU - Zhao S.
AU - Zhou Y.
AU - Zhou C.
AU - Cui G.
AU - Zhang Z.
AU - Mao M.
PY - 2022
SP - 709
EP - 714
DO - 10.5220/0012034800003612
PB - SciTePress